code: def test_mask_instance(data):
      mask = tv_tensors.Mask(data)
      assert isinstance(mask, torch.Tensor)
      assert mask.ndim == 3 and mask.shape[0] == 1
  
imports: from copy import deepcopy
  import pytest
  import torch
  from common_utils import assert_equal, make_bounding_boxes, make_image, make_segmentation_mask, make_video
  from PIL import Image
  from torchvision import tv_tensors
label_desc: Use image node_id 3 for calling a global function with example usage: test_mask_instance(data) without return types